Detection and classification of three-class initial dips from prefrontal cortex
In this paper, the use of initial dips using functional near-infrared spectroscopy (fNIRS) for
brain-computer interface (BCI) is investigated. Features and window sizes for detecting …
brain-computer interface (BCI) is investigated. Features and window sizes for detecting …
[HTML][HTML] A ternary hybrid EEG-NIRS brain-computer interface for the classification of brain activation patterns during mental arithmetic, motor imagery, and idle state
The performance of a brain-computer interface (BCI) can be enhanced by simultaneously
using two or more modalities to record brain activity, which is generally referred to as a …
using two or more modalities to record brain activity, which is generally referred to as a …
[HTML][HTML] fNIRS-EEG BCIs for motor rehabilitation: a review
J Chen, Y Xia, X Zhou, E Vidal Rosas, A Thomas… - Bioengineering, 2023 - mdpi.com
Motor impairment has a profound impact on a significant number of individuals, leading to a
substantial demand for rehabilitation services. Through brain–computer interfaces (BCIs) …
substantial demand for rehabilitation services. Through brain–computer interfaces (BCIs) …
Reduction of delay in detecting initial dips from functional near-infrared spectroscopy signals using vector-based phase analysis
In this paper, we present a systematic method to reduce the time lag in detecting initial dips
using a vector-based phase diagram and an autoregressive moving average with …
using a vector-based phase diagram and an autoregressive moving average with …
Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback
In the present study we implemented a real-time feedback system based on multichannel
near-infrared spectroscopy (NIRS). Prior studies indicated that NIRS-based neurofeedback …
near-infrared spectroscopy (NIRS). Prior studies indicated that NIRS-based neurofeedback …
Brain–machine interfaces using functional near-infrared spectroscopy: a review
Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring
hemodynamic signals from the brain with advantages of portability, affordability, low …
hemodynamic signals from the brain with advantages of portability, affordability, low …
Online classification of imagined speech using functional near-infrared spectroscopy signals
AR Sereshkeh, R Yousefi, AT Wong… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Most brain–computer interfaces (BCIs) based on functional near-infrared
spectroscopy (fNIRS) require that users perform mental tasks such as motor imagery, mental …
spectroscopy (fNIRS) require that users perform mental tasks such as motor imagery, mental …
[HTML][HTML] Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic
We propose a near-infrared spectroscopy (NIRS)-based brain-computer interface (BCI) that
can be operated in eyes-closed (EC) state. To evaluate the feasibility of NIRS-based EC …
can be operated in eyes-closed (EC) state. To evaluate the feasibility of NIRS-based EC …
[HTML][HTML] Open-access fNIRS dataset for classification of unilateral finger-and foot-tapping
Numerous open-access electroencephalography (EEG) datasets have been released and
widely employed by EEG researchers. However, not many functional near-infrared …
widely employed by EEG researchers. However, not many functional near-infrared …
A novel hybrid auditory BCI paradigm combining ASSR and P300
N Kaongoen, S Jo - Journal of neuroscience methods, 2017 - Elsevier
Background Brain-computer interface (BCI) is a technology that provides an alternative way
of communication by translating brain activities into digital commands. Due to the …
of communication by translating brain activities into digital commands. Due to the …